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advanced visualization pipelines, and Evaluation of trust, usability, and effectiveness of AI-assisted exploration. The successful candidate will: Research and develop AI-powered visualization assistants
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and machine learning techniques in analyzing supply chain risk. Ability to develop and synthesize visualizations to effectively communicate analysis results. Strong programming skills in statistical
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energy supply systems, multi-objective and stochastic optimization, advanced statistical analysis, and data visualization. This position offers the opportunity to work with a multidisciplinary team of
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possible to visualize the interplay of soil structure and microbial life at scales bridging nanometers to millimeters, creating a unique opportunity to investigate how microbial communities are organized and
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an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions
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communication skills, as well as the ability to work effectively in a multidisciplinary research environment. Major Action and Supporting Actions : Conducts experimental programs in in-situ and ex-situ ion
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collaborative research in a multidisciplinary environment. Experience with analytical tools such as X-ray diffraction, SEM/TEM, FTIR, and Raman spectroscopy. Ability to communicate effectively and on a timely
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environment Ability to communicate effectively and on a timely basis with the laboratory supervisory personnel on all developments or matters resulting from laboratory work activities. Ability to maintain
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modify laboratory procedures and protocols, develop experimental designs, run technical experiments, make detailed observations, gather and analyze data, and effectively report results. The position
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to effectively communicate their results and insights to both scientific peers and broader audiences. Furthermore, maintaining awareness of state-of-the-art techniques and expertise within related research groups